Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...